Universität Wien FIND
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

240090 UE MM1 - Methoden der quantitativen Entwicklungsforschung (2021W)

Prüfungsimmanente Lehrveranstaltung
VOR-ORT

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Update 19.11.2021: Following the Rectorate's recommendations, the course is moving from hybrid to online only starting this coming Monday and until December 12th.

Provided technical feasibility, the course will take place in hybrid form in case not all students fit in the class-room due to COVID19 mandated distance measures.
FIRST MEETING (OCTOBER 4TH) WILL BE ONLINE ONLY.

Montag 04.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 11.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 18.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 25.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 08.11. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 15.11. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 22.11. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 29.11. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 06.12. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 13.12. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 10.01. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 17.01. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 24.01. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Montag 31.01. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This is an introduction to applied statistics. The main goal of the course is for students to develop the necessary foundations and skills to implement quantitative empirical research independently. Students are required to make "hands-on" applications of the material studied in the course.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Students will be marked according to 3 different homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.

Mindestanforderungen und Beurteilungsmaßstab

Students should prove a good command (at least 50%) of the course’s topics. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; above 80% a 1.

Prüfungsstoff

There are no exams. The course’s main topics are descriptive statistics, probability, random variables, inference, regression analysis.

Literatur

The course has been prepared with two textbooks:

Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition, (NCT)

Shafer and Zhang (2012): Beginning Statistics (legally available online for free), (SZ)

Other introductory statistics textbooks are likely to provide very similar treatments.

Many examples have been borrowed from the following (rather entertaining) books:

1. Charles Wheelan (2013): Naked Statistics. Stripping the Dread from the Data, W.W. Norton.

2. Leonard Mlodinow (2008): The Drunkard'S Walk. How Randomess Rules Our Lives, Pantheon Books.

3. Nate Silver (2012): The Signal and the Noise. Why So Many Predictions Fail, But Some Don't, Penguin Books.

Zuordnung im Vorlesungsverzeichnis

MM1

Letzte Änderung: Fr 19.11.2021 16:08